dhall
dhall-kubernetes
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dhall | dhall-kubernetes | |
---|---|---|
10 | 9 | |
897 | 607 | |
0.4% | 0.5% | |
7.3 | 4.2 | |
17 days ago | 3 months ago | |
Dhall | Dhall | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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dhall
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Why Functional Programming Should Be the Future of Software
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If you mean installing Dhall's dependencies (https://github.com/dhall-lang/dhall-haskell/blob/master/dhal...), those aren't too crazy, but they're definitely not all "beginner level". Template Haskell in particular is quite heavyweight.
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Dhall: A Gateway Drug to Haskell
Ok, lets be specific. Lets write a comment to explain this function:
https://github.com/dhall-lang/dhall-haskell/blob/master/dhal...
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Nix: An idea whose time has come
I haven't tried it but apparently you can compile to Nix from Dhall:
> You can use this compiler to program Nix using the Dhall language. This package targets people who wish Nix had a type system.
https://github.com/dhall-lang/dhall-haskell/tree/master/dhal...
- Usage Of Cryptonite Library In GHCJS
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How to Learn Nix
If the problem is the syntax and people wants some other format that compiles to nix, there's dhall
https://github.com/dhall-lang/dhall-haskell/tree/master/dhal...
https://www.haskellforall.com/2017/01/typed-nix-programming-...
Dhall is a generic config language with some programming capabilities (but not turing complete) that can compile to json, yaml, and other formats, like in this instance nix.
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Google Summer of Code Summary: Dhall bindings to CSV
For my GSoC project, I built from scratch the dhall-csv package on the Dhall Haskell implementation Github Repository. Said package provides two executables, dhall-to-csv (which converts Dhall files into CSV files) and csv-to-dhall (which converts CSV files into Dhall files). It also provides Haskell libraries with the functions that translate bidirectionally between Dhall and CSV.
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Wuffs the Language
> If you add constraints (like not being able to feed the program to itself as is done in the halting problem and not allowing unbounded loops) then it is possible to determine if a program will terminate or not.
Dhall is a good example - https://github.com/dhall-lang/dhall-haskell .
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INTERCAL, YAML, And Other Horrible Programming Languages
See also https://dhall-lang.org/
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Common Nginx misconfigurations that leave your web server open to attack
That just seems like an even greater nightmare to me. Soon you would have to learn to read and understand a custom program in a Turing-complete language for each and every installation.
The proper solution is a DSL, just a better DSl. Or perhaps a DSL embedded in something like dhall <https://dhall-lang.org/>, but definitely not a general-purpose programming language.
dhall-kubernetes
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DSLs Are a Waste of Time
I hate yaml with a passion. It marginally better than xml for reading (wins huge on comment syntax) and worse for everything else. It makes zero sense we somehow ended up with it as standard configuration serialization format.
Note yaml is not a DSL. It's a tree serialization format! Everything interesting is happening after it is parsed. Extreme examples point to e.g. github actions conditions.
Anyway, back on topic - maybe not prolog for CDK, but still quite interesting: Dhall-kubernetes - https://github.com/dhall-lang/dhall-kubernetes
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Nyarna: A structured data authoring language in the spirit of LaTeX, implemented in Zig
Dhall provides https://github.com/dhall-lang/dhall-kubernetes which is exactly this: statically type-checked kubernetes config generation.
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The Dhall Configuration Language
Dhall is my favorite configuration language that I never get around to using.
I manage DNS in Terraform, and since every Terraform provider uses different objects definitions, and every object definition is rather verbose, Dhall would be a way to specify my own DRY types and leave the provider-specific details in one place. Adding new DNS entries and moving several domains between providers would be a matter of changing fewer lines.
Dhall also has Kubernetes bindings:
https://github.com/dhall-lang/dhall-kubernetes
Although I'm tempted to just stick to Helm here, even though it's less type-safe.
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Why helm doesn't use a general purpose programming language for defining resources?
Not Helm directly, but does something like Dhall fit your question? https://github.com/dhall-lang/dhall-kubernetes
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Dhall configuration language as another way to write manifests for Kubernetes
Have you heard about Dhall? It’s a programming language used for generating configuration files for a variety of purposes. One of them is to replace old and limited formats such as JSON and YAML. It is DRYable, secure, and even suitable for creating K8s manifests. The latter option isn’t something for anyone: you have to learn a new language and deal with its peculiarities, but it might be really helpful when you have tons of YAML configs. I’ve recently made a short intro to Dhall for K8s in this review.
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Terraform 1.0 Release
Best thing is Dhall that I am aware of. Same situation, working as a consultant, forced to use broken things.
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Write Gitlab CI Pipelines in Python Code
Lets look at a specific example. Take Kubernetes: everything is yaml, with complete schemas, all the way down. From your perspective this is configuration utopia, right? Meanwhile back in reality k8s is the poster child of "yaml hell". From the day it was released, people took one look at it, gave it a giant NOPE and instantly spawned half a dozen templating languages. The most popular of these is helm, which has a terrible, no good, very bad design: full of potential injection attacks from purely textual string substitution, manually specified indentation to embed parameterized blocks, virtually no intermediate validation, no way to validate unused features, etc etc
Compare to dhall which publishes a complete set of dhall-k8s schema mappings which enables you to factor out any design you want down to as few configuration variables as you like, while validating the configuration generators themselves at design time. https://github.com/dhall-lang/dhall-kubernetes#more-modular-...
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INTERCAL, YAML, And Other Horrible Programming Languages
The solution I like is Dhall. They even have a Kubernetes solution that will catch a lot of issues at compile-time, before you try to apply it to Kubernetes. At earthly we aren't actually using it though. Our Kubernetes guru found it to be a bit slow but I am hopeful it or something like it will be the future.
What are some alternatives?
coc.nvim - Nodejs extension host for vim & neovim, load extensions like VSCode and host language servers.
accelerate - Embedded language for high-performance array computations
accelerate-cuda - DEPRECATED: Accelerate backend for NVIDIA GPUs
dhall-nix
egison - The Egison Programming Language
hLLVM
haste-compiler - A GHC-based Haskell to JavaScript compiler
fst - Haskell package for construction and running of finite state transducers.
nvim-lspconfig - Quickstart configs for Nvim LSP
const-math-ghc-plugin - GHC plugin for constant math elimination
starlark - Starlark Language